Michael J. Kraakman
- Immunology top 10%
- Immune Cell Function and Interaction 3
- Physiology top 5%
- Adipose Tissue and Metabolism 5
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases 8
- Liver Disease Diagnosis and Treatment 3
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity 3
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- Diet, Metabolism, and Disease 3
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- Pancreatic function and diabetes 6
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- FOXO transcription factor regulation 4
- Co-authors
- Andrew MurphyMark A. FebbraioKarin Jandeleit‐DahmHélène L. KammounPrabhakara R. NagareddyDragana DragoljevicGraeme I. LancasterAlan R. Tall
- Cited by
- ImmunologyPhysiologyEpidemiology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Michael J. Kraakman
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Immunology 413
- Physiology 419
- Epidemiology 546
- Endocrine and Autonomic Systems 88
- Endocrinology, Diabetes and Metabolism 202
Countries citing papers authored by Michael J. Kraakman
This map shows the geographic impact of Michael J. Kraakman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael J. Kraakman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Kraakman more than expected).
Fields of papers citing papers by Michael J. Kraakman
This network shows the impact of papers produced by Michael J. Kraakman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael J. Kraakman. The network helps show where Michael J. Kraakman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael J. Kraakman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 50 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 51 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 53 | |
| 12 | 2018 | 49 | |
| 13 | 2018 | 66 | |
| 14 | 2017 | 10 | |
| 15 | 2016 | 15 | |
| 16 | 2016 | 27 | |
| 17 | 2015 | 197 | |
| 18 | 2014 | 8 | |
| 19 | 2014 | 375 | |
| 20 | 2012 | 16 |
About Michael J. Kraakman
Michael J. Kraakman is a scholar working on Endocrine and Autonomic Systems, Immunology and Epidemiology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Pancreatic function and diabetes (6 papers), Adipose Tissue and Metabolism (5 papers), FOXO transcription factor regulation (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (3 papers), Immune Cell Function and Interaction (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Immunology (413 citations), Physiology (419 citations) and Epidemiology (546 citations). Michael J. Kraakman has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Andrew Murphy, Mark A. Febbraio, Karin Jandeleit‐Dahm, Hélène L. Kammoun, Prabhakara R. Nagareddy, Dragana Dragoljevic, Graeme I. Lancaster, Alan R. Tall, Seth L. Masters and Edward A. Fisher. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.